HuangkeChen / Uncertainty-Aware-Workflow-SchedulingLinks
This is the JAVA code of algorithm ROSA, and the corresponding paper is published by IEEE Trans. on Services Computing. The title of the paper is 'Uncertainty-Aware Online Scheduling for Real-Time Workflows in Cloud Service Environment' (DOI: 10.1109/TSC.2018.2866421).
☆20Updated 7 years ago
Alternatives and similar repositories for Uncertainty-Aware-Workflow-Scheduling
Users that are interested in Uncertainty-Aware-Workflow-Scheduling are comparing it to the libraries listed below
Sorting:
- MEC，Edge service, Edge Application, Service Computing.☆66Updated 3 years ago
- ☆11Updated 5 years ago
- This project simulates deployment and migration of Service Function Chains (SFC) in data-centers.☆34Updated 6 months ago
- Implementation of Greedy Particle Swarm Optimization, HSGA and Hybrid(GA+PSO) for the purpose of Task Scheduling in cloud computing envir…☆34Updated 3 years ago
- Task scheduling algorithms using algorithms like ACO PSO and MBO☆18Updated 6 years ago
- SatEdgeSim: A Toolkit for Modeling and Simulation of Performance Evaluation in Satellite Edge Computing Environments☆59Updated 2 years ago
- [TMC'20] Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments☆125Updated 3 years ago
- NFV simulation experiment to deploy service function chains☆25Updated 7 years ago
- A python package for solving the dependent function embedding problems.☆20Updated 3 years ago
- zamaniali1995 / A-Novel-Approach-for-Service-Function-Chain-SFC-Mapping-with-Multiple-SFC-instances-paperThis code simulate effect of using edge computing for NFV.☆12Updated 5 years ago
- Hybrid of Particle Swarm Optimization and Genetic Algorithm-based Heuristic for Scheduling Workflow Applications in Cloud Computing Enviro…☆19Updated 7 years ago
- Distributed Online Service Coordination Using Deep Reinforcement Learning☆19Updated 2 years ago
- [ICC'21 - DRL-SFCP] Implementation of our paper "DRL-SFCP: Adaptive Service Function Chains Placement with Deep Reinforcement Learning", …☆37Updated 7 months ago
- We open sourced the code of our team’s paper ‘Q-learning based Dynamic task scheduling for energy efficient cloud computing’, so as to fa…☆20Updated 4 years ago
- Zuox99 / Deep-Reinforcement-Learning-Based-Resource-Provisioning-and-Task-Scheduling-for-Cloud-Service-ProvidProject: Deep Reinforcement Learning Based Resource Provisioning and Task Scheduling for Cloud Service Providers☆60Updated 5 years ago
- A Comparative Study Between Heuristic Task Scheduling and Optimization-Based Algorithms in Cloud Computing Environments☆37Updated 2 years ago
- ☆40Updated 4 years ago
- Implement job scheduling based on REINFORCE and Graph Embedding.☆19Updated 5 years ago
- The source code and experimental results of RSDQL.☆28Updated 3 years ago
- Implementation of RL in the cloud for energy minimization due to migration and excess power consumption.☆29Updated last year
- KCES: A Workflow Containerization Scheduling Scheme Under Cloud-Edge Collaboration Framework☆14Updated last year
- Some classical edge server placement algorithms are implemented.☆26Updated 3 years ago
- RayCloudSim: A Simulator Written in Python for Cloud, Fog, or Edge Computing☆96Updated 3 months ago
- [CLOUD'22] Learning to Dynamically Select the Optimal Scheduler in Cloud Computing Environments☆14Updated 3 years ago
- Deep Neural Network for Computation Rate Maximization in Wireless Powered Mobile-Edge Computing System☆55Updated 6 years ago
- A Python-based simulation environment for edge computing decision-making algorithms with edge task scheduling.☆15Updated last year
- Codes for Lyapunov optimization.☆99Updated 6 years ago
- Code for paper "Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process"☆63Updated 5 years ago
- NFVdeep: Deep Reinforcement Learning for Online Orchestration of Service Function Chains☆61Updated 3 years ago
- The code for the paper task merging and scheduling for parallel deep learning applications in mobile edge computing☆26Updated 5 years ago